Package smile.validation.metric

Class MAD

java.lang.Object

smile.validation.metric.MAD

All Implemented Interfaces:

Serializable, ToDoubleBiFunction<double[],double[]>, RegressionMetric

public class MAD
extends Object
implements RegressionMetric

Mean absolute deviation error.

See Also:

• Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
static final MAD	instance	Default instance.

Constructor Summary

Constructors

Constructor	Description
MAD()

Method Summary

Modifier and Type	Method	Description
static double	of(double[] truth, double[] prediction)	Calculates the mean absolute deviation error.
double	score(double[] truth, double[] prediction)	Returns a score to measure the quality of regression.
String	toString()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface smile.validation.metric.RegressionMetric

applyAsDouble

Field Details

instance

public static final MAD instance

Default instance.

Constructor Details

MAD

public MAD()

Method Details

score

public double score(double[] truth,
 double[] prediction)

Description copied from interface: RegressionMetric

Returns a score to measure the quality of regression.

Specified by:

score in interface RegressionMetric

Parameters:

truth - the true response values.

prediction - the predicted response values.

Returns:

the metric.

of

public static double of(double[] truth,
 double[] prediction)

Calculates the mean absolute deviation error.

Parameters:

truth - the ground truth.

prediction - the prediction.

Returns:

the metric.

toString

public String toString()

Overrides:

toString in class Object